CN117079792A - System for code viewing medical events and decision support method - Google Patents
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Classifications
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
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- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Abstract
Embodiments of the present application include systems and decision support methods for code viewing of medical events. A medical monitoring system and method for displaying and navigating a clinical decision support procedure, portions of which are on separate display screens, a system and method for dynamically changing the visual characteristics of soft keys on a patient monitor/defibrillator user interface screen based on clinical decision support or differential diagnostic procedures, and a code viewing interface configured to allow a user to see what is displayed on the patient monitor/defibrillator user interface screen at any time during a medical event and see a snapshot of other recorded parameters for purposes of code viewing, patient transfer, and improved patient care during the medical event.
Description
The application is a divisional application of the application of which the application date is 2014, 1 month and 9, the application number is 201910253000.5, and the application name is a system for checking medical events through codes and a decision support method. And application 201910253000.5 is a divisional application of application having application date 2014, 1, 9, 201480004676.6, and entitled "EMS decision support interface, event history, and related tools".
Cross Reference to Related Applications
The present application claims the benefit of U.S. provisional patent application serial No. 61/751,743 filed on 1 month 11 of 2013 and U.S. provisional patent application serial No. 61/818,334 filed on 5 month 1 of 2013, both of which are incorporated herein by reference in their entireties for all purposes.
Technical Field
Embodiments of the present application relate generally to tools for facilitating emergency care treatment, and more particularly to systems and methods for clinical decision support and differential diagnosis.
Background
Medical emergency personnel often have difficulty in accurately determining the proper diagnosis for a particular patient, both in pre-hospitalization and in emergency care treatment situations. Even trained doctors often have difficulties in emergency situations where the use of limited information requires instantaneous decisions. Computerized automated diagnostics have been developed to improve the accuracy, effectiveness and reliability of both on-site and hospital patient treatment.
Automatic differential diagnosis utilizes computerized inference algorithms such as bayesian algorithms, neural networks, or genetic algorithms. According to the wikipedia record:
bayesian networks are knowledge-based graphical representations that show a set of variables and their probabilistic relationships between diseases and symptoms. They are based on conditional probabilities, taking into account the probability of an event occurring at another event, for example an interpretation of a diagnostic test. Bayesian rules help us calculate the probability of an event with some easier information, which always deals with options when new evidence appears. In the CDSS [ (clinical decision support system) ] context, bayesian networks can be used to calculate the probability of occurrence of possible diseases given their symptoms. Some advantages of bayesian networks include the expert's knowledge and summary in the form of probabilities, the help to make decisions as new information being available and based on unbiased probabilities applicable to many models. Some drawbacks of bayesian networks include the difficulty in obtaining probabilistic knowledge of possible diagnoses and the impracticality of a large complex system for a given multiple symptom. Bayesian calculations on multiple concurrent symptoms can overwhelm users. An example of a bayesian network in the context of CDSS is the illite system, which uses bayesian reasoning to calculate posterior probabilities of possible diagnoses from the symptoms provided. The system now covers approximately 1500 diagnoses based on thousands of findings. Another example is the dxpin system, which uses a modified form of bayesian logic. The CDSS generates a list of hierarchical diagnoses associated with symptoms.
An Artificial Neural Network (ANN) is a non-knowledge-based adaptive CDSS that uses a form of artificial intelligence also known as machine learning that allows the system to learn and identify models in clinical information from past experience/examples. It consists of nodes called neurons and weighted connections that pass signals between neurons in a unidirectional fashion. ANN consists of three main layers: input (data receiver or discovery), output (conveying results or possible diseases) and concealment (processing data). The system becomes more efficient using the known results of large amounts of data. Advantages of ANN include the requirement of the programming system and providing cancellation from expert input. ANN CDSS can process incomplete data by making a informed speculation on lost data and improve each use due to its adaptive system learning. Furthermore, the ANN system does not require a large database to store the result data with associated probabilities. Some drawbacks are that the training process can be time consuming, resulting in the user not being able to effectively utilize the system.
The ANN systems derive their own formulas for weighting and combining data based on statistical recognition patterns over time that may be difficult to interpret and challenge the reliability of the system.
Examples include the diagnosis of appendicitis, lumbago, myocardial infarction, psychotic emergency and skin disorders. The ANN diagnostic predictions of pulmonary embolism are in some cases even better than the physician's predictions. Furthermore, application-based ANN is useful in analysis of ECG (a.k.a.ekg) waveforms.
Genetic Algorithms (GA) are non-knowledge-based methods developed in the institute of technology of the millboard in the 40 th century based on the theory of evolution of darwins to handle the victory and defeat. These algorithms are rearranged to form different recombinations that are better than previous schemes. Similar to neural networks, genetic algorithms derive their information from patient data. One advantage of genetic algorithms is that these systems produce the best solution by iterative processes. The fitness function determines good solutions and solutions that can be eliminated.
The disadvantage is the lack of transparency in reasoning about the decision support system, making it undesirable for the physician. The main challenge in using genetic algorithms is to define the fitness criteria. In order to use genetic algorithms, there must be many components, such as the variety of drugs, symptoms, therapeutic therapies, etc. available in order to solve the problem. Genetic algorithms have proven useful in the diagnosis of female urinary incontinence.
Despite the fact that automated differential diagnostic systems have now been developed and attempted to be used for over 35 years, they do not gain any acceptance of emergency medical devices for emergency care treatment (ACT). To a large extent, this failure is due to the situation under which emergency care for an acute situation is practiced. In those cases, such as treatment of trauma, cardiac arrest or respiratory arrest, decision speed is critical and caregivers must previously struggle for seconds and distribute attention between the patient and the physiological monitor and defibrillator. In this case, automatic Differential Diagnosis (ADD) tools are often considered to interfere with the care flow and delay treatment of the patient. It is not surprising that ADD tools are ignored by the particular personnel who design them to help them in the case of cardiac arrest, given that each minute may result in a 10% decrease in survival rate.
It has also been found that more medical history of the patient is not available to caregivers in acute medical situations, as patients are often treated in pre-hospitalized environments where family members are often not present at the time of injury.
Disclosure of Invention
Embodiments of the present invention include systems that provide tools to caregivers to more effectively and accurately conduct differential diagnostics that are incorporated into the caregivers' existing workflows in emergency situations. Embodiments of the present invention may also provide a caregiver with a combined view of patient physiological data along with the treatment and patient history and examination results in an automated manner.
A method for code viewing of medical events according to an embodiment of the present invention includes: displaying a user interface on a first device screen during a medical event; recording images of the user interface, each image representing an entirety of the user interface associated with a time during a medical event, wherein the images are recorded at least once per second; displaying on the second device screen a visual time scale indicator and a user interface replicator, the user interface replicator displaying images of the user interface, the visual time scale indicator representing a time associated with each image, wherein the visual time scale indicator and the user interface replicator allow for continuous playback and viewing of the user interface images from the medical event, wherein the visual time scale indicator accepts user input to move the continuous playback to different times associated with the medical event.
The method of paragraph [0008], wherein the visual time scale indicator comprises a time scale comprising a start time of the medical event and an end time of the medical event, the method further comprising indicating on the time scale a time associated with an image of the user interface displayed in the user interface replicator.
The method of any of paragraphs [0008] to [0009], wherein the indicating on the time scale comprises using an indicator on the time scale to indicate a time associated with an image of the user interface displayed in the user interface replicator.
The method of any of paragraphs [0008] to [0010], further comprising moving the indicator forward along the time scale in a direction from the start time toward the end time during continuous playback of the user interface image.
The method of any of paragraphs [0008] to [0011], wherein the visual time scale indicator accepts user input by allowing the indicator to scroll to different positions along the time scale.
The method of any of paragraphs [0008] to [0012], wherein the visual time scale indicator displays the time associated with each image in an hour-minute-second format.
The method of any of paragraphs [0008] to [0013], wherein the visual time scale indicator comprises one or more event markers that mark the occurrence of clinically relevant secondary events during the medical event.
The method of any of paragraphs [0008] to [0014], wherein the one or more event markers comprise a medication time marker indicating a time of administration of the medication to the patient during the medical event.
The method of any of paragraphs [0008] to [0015], wherein the one or more event markers comprise a defibrillation event marker indicating a time during the medical event at which a defibrillation shock was applied to the patient.
The method of any of paragraphs [0008] to [0016], wherein the one or more event markers comprise a ROSC (return of spontaneous circulation) event marker indicating a time at which the patient returns to spontaneous circulation.
The method of any of paragraphs [0008] to [0017], wherein the one or more event markers comprise a re-stop event marker indicating a time at which the patient returns to cardiac arrest.
The method of any of paragraphs [0008] to [0018], wherein the one or more event markers comprise an alarm event marker indicating when an alarm is activated.
The method of any of paragraphs [0008] to [0019], further comprising displaying a cursor on the second device screen, displaying an image of a user interface associated with the time on the second screen at or near the cursor when the cursor hovers over or near the time represented by the visual time scale indicator.
The method of any of paragraphs [0008] to [0020], further comprising displaying a textual representation of the time at or near the cursor when the cursor hovers over or near the time.
A method for decision support during a medical event according to an embodiment of the present invention includes: displaying a user interface on a screen on the device during the medical event, wherein the user interface includes two or more soft keys, each soft key representing a possible user selection; collecting physiological data from a patient using the device; determining which of the two or more soft keys represents the closest possible user selection consistent with the treatment or diagnostic regimen based on the physiological data; based on the determination, the one of the two or more soft keys is visually distinguished from the other of the two or more soft keys on the user interface.
The method of paragraph [0022], wherein visually distinguishing the one of the two or more soft keys comprises making the one of the two or more soft keys larger than the other of the two or more soft keys.
The method of any of paragraphs [0022] to [0023], wherein visually distinguishing the one of the two or more soft keys comprises changing a position of the one of the two or more soft keys on the user interface.
The method of any of paragraphs [0022] to [0024], wherein visually distinguishing the one of the two or more soft keys comprises changing a color of the one of the two or more soft keys on the user interface.
The method of any of paragraphs [0022] to [0025], wherein visually distinguishing the one of the two or more soft keys comprises changing a boundary of the one of the two or more soft keys on the user interface.
The method of any of paragraphs [0022] to [0026], wherein visually distinguishing the one of the two or more soft keys comprises causing the one of the two or more soft keys to flash dynamically on the user interface.
The method of any of paragraphs [0022] to [0027], wherein visually distinguishing the one of the two or more soft keys comprises displaying a legend on the screen, the legend describing why the one of the two or more soft keys is visually distinguished.
The method of any of paragraphs [0022] to [0028], wherein one of the two or more soft keys is a heart distress soft key, wherein the legend textually indicates a possible heart rhythm disorder.
A method for decision support during a medical event according to an embodiment of the present invention includes: displaying a user interface on a first screen on a first device during a medical event, wherein the user interface includes two or more soft keys, each soft key representing a possible user selection; collecting physiological data from a patient using a first device; a visual representation of the clinical decision support tree and an indication of a current node on the clinical decision support tree are displayed on a second screen on the second device, wherein each of the two or more soft keys represents a possible user selection from the current node on the clinical decision support tree.
The method of paragraph [0030], wherein the visual representation of the clinical decision support tree comprises at least one preceding node and at least one subsequent node in addition to the current node.
The method of any of paragraphs [0030] to [0031], wherein selection of one of the two or more soft keys moves the indication of the current node on the second screen forward to a subsequent node selected by the one of the two or more soft keys.
The method of any of paragraphs [0030] to [0032], wherein the second screen allows scrolling and scaling of the visual representation of the clinical decision support tree.
The method of any of paragraphs [0030] to [0033], wherein the visual representation of the clinical decision support tree is centered at the current node on the second screen.
The method of any of paragraphs [0030] to [0034], wherein the visual representation of the clinical decision support tree is based on the current node being located on the second screen.
The method of any of paragraphs [0030] to [0035], wherein the visual representation of the clinical decision support tree on the second screen is based on the current node location, wherein selection of one of the two or more soft keys repositions the visual representation of the clinical decision support tree on the second screen based on a subsequent node.
The method of any of paragraphs [0030] to [0036], wherein the visual representation of the clinical decision support tree on the second screen is centered at the current node, wherein selection of one of the two or more soft keys re-centers the visual representation of the clinical decision support tree on the second screen at a subsequent node.
A method for decision support during a medical event according to an embodiment of the present invention includes: during the medical event, collecting physiological data from the patient at a first frequency using the patient monitoring device; guiding a user through a clinical decision support process using a display screen during the medical event; determining the status of the patient via a clinical decision support procedure; and selecting a second frequency based on the patient's state to collect physiological data from the patient at the second frequency.
The method of paragraph [0038], further comprising collecting physiological data from the patient at a second frequency.
The method of any of paragraphs [0038] to [0039], wherein the status of the patient is indicative of a traumatic brain injury, wherein the second frequency is selected to be greater than the first frequency.
The method of any of paragraphs [0038] to [0040], wherein the second frequency is at least once every five minutes.
A system for code viewing of medical events according to an embodiment of the present invention includes: a first screen configured to visually display a clinical decision support tree for use in a medical event; a second screen configured to visually display a copy of a user interface of a patient monitoring device when the user interface appears at a time during a medical event, wherein selecting a location within the clinical decision support tree on the first screen causes the second screen to display a copy of the user interface corresponding to the time during the medical event represented by the location within the clinical decision support tree.
The system of paragraph [0042], wherein the second screen is part of a patient monitoring device.
The system of any of paragraphs [0042] to [0043], wherein the first screen is further configured to visually indicate forward movement of a user on the clinical decision support tree, the forward movement of the user being synchronized with the replicated forward movement of the user interface on the second screen through the clinical decision support tree.
A method for decision support according to an embodiment of the present invention includes: displaying a user interface on a screen during a medical event, wherein the user interface includes trend information for a patient condition; collecting physiological data from a patient using a device; providing clinical decision support using at least some physiological data and at least some user input data; establishing a range of patient conditions based on clinical decision support; and visually indicating on the user interface whether all or a portion of the trend information is within the range.
The method of paragraph [0045], wherein the screen is on the device.
The method of any of paragraphs [0045] to [0046], wherein visually indicating on the user interface whether all or part of the trend information is within range further comprises displaying a portion of the trend information that falls outside of a range of the first color, and displaying a portion of the trend information that falls within a range in a second color different from the first color.
The method of any of paragraphs [0045] to [0047], wherein the range is a first range, the method further comprising establishing a second range of patient conditions based on clinical decision support, and visually indicating on the user interface whether all or part of the trend information is within the second range.
The method of any of paragraphs [0045] to [0048], further comprising establishing a third range of patient conditions based on the clinical decision support, wherein the first range, the second range, and the third range do not overlap each other, and visually indicating on the user interface whether all or part of the trend information is within the third range.
The method of any of paragraphs [0045] to [0049], further comprising coloring a portion of the trend information within the first range with a first color, coloring a portion of the trend information within the second range with a second color, and coloring a portion of the trend information within the third range with a third color.
The method of any of paragraphs [0045] to [0050], wherein the third color is green, wherein the second color is yellow, and wherein the third color is red.
The method of any of paragraphs [0045] to [0051], wherein establishing the range of patient conditions based on clinical decision support comprises establishing the range of patient conditions based on patient age, wherein the patient age is obtained via clinical decision support.
A method for decision support according to an embodiment of the present invention includes: displaying a user interface on a screen during a medical event, wherein the user interface includes a dosage information display of the drug; collecting physiological data from a patient using a device; providing clinical decision support using at least some physiological data and at least some user input data; establishing a dose recommendation for the drug based on the clinical decision support; and visually indicating the dose suggestion on the dosing information display of the user interface.
The method of paragraph [0053], wherein the screen is on the device.
The method of any of paragraphs [0053] to [0054], wherein establishing the dose advice based on clinical decision support comprises establishing the dose advice based on the age of the patient, wherein the age of the patient is obtained via clinical decision support.
The method of any of paragraphs [0053] to [0055], wherein establishing a dose suggestion based on clinical decision support comprises establishing a dose suggestion based on patient weight, wherein patient weight is obtained via clinical decision support.
The method of any of paragraphs [0053] to [0056], wherein establishing a dose suggestion based on clinical decision support comprises establishing a dose suggestion based on a patient's allergy history, wherein the patient's allergy history is obtained via clinical decision support.
While various embodiments are disclosed, other embodiments of the invention will become apparent to those skilled in the art from the following detailed description, which shows and describes illustrative embodiments of the invention. Accordingly, the drawings and detailed description are to be regarded as illustrative in nature and not as restrictive.
Drawings
Fig. 1 illustrates a clinical decision support system according to an embodiment of the present invention.
Fig. 2 illustrates a user interface of a medical device according to an embodiment of the invention.
FIG. 3 illustrates the user interface of FIG. 2 when an emergency care diagnostic mode is selected according to an embodiment of the invention.
Fig. 4 illustrates the user interfaces of fig. 2 and 3 when a respiratory distress mode is selected according to an embodiment of the present invention.
Fig. 5 is a chart depicting a differential diagnostic overview of acute dyspnea in adults.
Fig. 6 is a chart depicting diagnostic cues for dyspnea.
Fig. 7 is a chart listing physical examination findings in the diagnosis of acute dyspnea.
Fig. 8A is a top of a common medical protocol and differential diagnosis flow chart for adult respiratory distress.
Fig. 8B is a continuation of the common medical protocol and differential diagnosis flowchart of fig. 8A.
FIG. 9 illustrates a carbon dioxide snapshot waveform that may be displayed on a user interface when selected by a user, according to an embodiment of the invention.
FIG. 10 illustrates a carbon dioxide snapshot waveform of FIG. 9 having a displayed size in accordance with an embodiment of the present invention.
Fig. 11 illustrates a tablet computing device docked on a defibrillator device according to an embodiment of the present invention.
Fig. 12 illustrates a protocol for use with a patient having cardiac arrest.
Fig. 13 illustrates an example trauma assessment scheme.
Fig. 14 illustrates an example rapid trauma assessment scheme.
Fig. 15 illustrates an example accent physical examination scenario.
Fig. 16 illustrates an example amputation trauma scheme.
Fig. 17 illustrates an example hemostatic scheme.
Fig. 18 illustrates an example burn scenario.
Fig. 19 illustrates an example shock scheme.
FIG. 20 illustrates an example spinal fixation scheme.
Fig. 21 illustrates an additional step in the spinal fixation scheme of fig. 20.
FIG. 22 illustrates an example multisystem trauma scheme.
FIG. 23 illustrates an example near drowning scheme.
Fig. 24 illustrates an example pregnancy trauma regimen.
Fig. 25 illustrates an example traumatic cardiac arrest scenario.
Fig. 26 illustrates a clinical decision support system according to an embodiment of the present invention.
FIG. 27 illustrates a computer system according to an embodiment of the invention.
FIG. 28 illustrates a user interface display of a clinical decision support tree according to an embodiment of the invention.
FIG. 29 illustrates the user interface display of FIG. 28 with a portion of the resized clinical decision support tree in accordance with an embodiment of the invention.
Fig. 30 illustrates the user interface display of fig. 28 and 29 with additional portions of the clinical decision support tree sized according to an embodiment of the invention.
FIG. 31 illustrates a user interface display with dynamic soft keys according to an embodiment of the present invention.
FIG. 32 illustrates the user interface display of FIG. 31 with one soft key emphasized based on clinical decision support in accordance with an embodiment of the present invention.
FIG. 33 illustrates the user interface display of FIG. 31 with one differently emphasized soft key based on clinical decision support in accordance with an embodiment of the present invention.
FIG. 34 illustrates a code viewing interface for viewing user interface display data corresponding to a medical event according to an embodiment of the invention.
FIG. 35 illustrates a portion of a clinical decision support tree according to an embodiment of the invention.
FIG. 36 illustrates a user interface display according to an embodiment of the invention.
While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and are herein described in detail. However, it is not intended that the invention be limited to the particular embodiments described. On the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the invention as defined by the appended claims.
Detailed Description
Fig. 1 shows a block diagram of a system according to an embodiment of the invention. In one embodiment, a combined defibrillator/monitor device such as E-Series manufactured by ZOL Medical, inc. of SemtesFoundation, mass has keys whose labels are provided by on-screen text. This text is configurable in real time, either as a result of input by the user or as a result of analysis and decision making by the defibrillator or other device with which the defibrillator communicates when in use, such as tablet device 214 or a remote base station equipped with employees by medical dispatchers or medical supervisors in communication with the tablet. The tablet may take the form of an iPad (apple inc., cupertino CA). This labeled key of the screen may be referred to as a "soft key". In accordance with an embodiment of the present invention, a particular soft key is initially labeled "emergency care diagnostic" at the device that is activated as shown in fig. 2. Upon detecting the pressing of the emergency care diagnostic key, the defibrillator changes the function and label of the key to those shown in fig. 3. These five labels, "respiratory distress" or alternatively, "dyspnea", "altered mental state", "cardiac distress", "trauma" and "pain/abnormal nerve perception" -differ from traditional symptoms associated with differential diagnosis in that they identify the patient and category of potential workflow and Diagnostic and Therapeutic Pathways (DTPs) and list with relative frequencies at which caregivers and other emergency responders encounter patients meeting these criteria in actual practice.
By pressing the soft key for each DTP, the defibrillator is then configured to potentially activate a particular physiological sensor and display that sensor data in this manner to provide the caregiver with the best information to optimally display for most accurate and efficient diagnosis and treatment of the patient. Each DTP may comprise a template from which sensor data or physiological and/or measurement data derived therefrom is displayed in the most useful and/or efficient manner for that particular DTP. For example, if the "respiratory distress" soft key is pressed, the waveform and digital physiological data on the screen changes to that shown in fig. 4. The stored snapshot of the individual's carbon dioxide breathing waveform may be initiated via a carbon dioxide snapshot soft key. These snapshots remain on the display for reference to the clinician for both automatic measurement of diagnosis and evaluation of the effectiveness of a particular therapy.
Heart sound measurement and detection may be incorporated into the monitoring means for detection of S3 and S4 heart sounds and automatically narrow down the discrimination or suggest that the rescuer confirm compliance with the software diagnosis for heart failure and pulmonary edema. A flowchart for assessing heart sounds is shown in fig. 8A and 8B. Oximetry and capnometry are also very useful measures and can be automatically incorporated into algorithms for more accurate diagnosis. The same sensors used to detect heart sounds may also be used to detect breath sounds and analyze their quality. Specific algorithms may be used to detect wheezing, wetting-and-pressing, royaljelly, or wheezing, each of which may be indicative of a particular disease.
Sensors such as flow sensors and oxygen sensors are included in some embodiments so that additional physiological measurements such as volumetric carbon dioxide, volumetric oxygen and spirometry, etc. related to diagnosis and treatment of dyspnea may be included and displayed on the respiratory distress DTP screen. The oxygen sensor may be located in the airway of the patient, which may help calculate the metabolic needs of the patient.
According to some embodiments of the invention, the display on defibrillator 212 is a touch screen. The caregiver can easily initiate measurements, e.g., regarding the capnography waveforms or the spirometry snapshot waveforms, via a touch screen gesture, e.g., a double click. A zoom icon may be present in the upper corner of each waveform box, such as a carbon dioxide snapshot, so that when the zoom button is touched, that particular waveform fills the display of the defibrillator. Another measurement button appears which, when touched, displays all relevant measurements of a particular waveform, according to an embodiment of the present invention. A gesture interface is provided as part of the touch screen. Using two fingers or fingers and thumb to contact two points in the waveform (which may also be referred to as "caliper" measurements or gestures) will cause the measurements to be displayed and/or superimposed on the physiological data, as illustrated in fig. 10. For example, the amount of dead space, the slope of the second and third phases indicative of COPD (chronic obstructive pulmonary disease), and the estimated value of arterial pCO2 may be listed on the screen after the initiation of carbon dioxide waveform measurements.
According to embodiments of the present invention, a processor communicatively coupled to the touch screen portion of the decision support system may be configured to identify the waveform of the wave signal being displayed and/or to identify the edge of the image being displayed to improve the accuracy of the caliper touch gesture. For example, if the user is to measure or "zoom in" on ST elevation in an ECG (electrocardiogram) wave display using a caliper gesture, the decision support system may be configured to identify whether one of the clicks of the user's finger is just below the top of the ECG wave, identifying that the user may want to include the top of the ECG wave in an enlarged or selected view. Further, the decision support system may be configured to have the ability to zoom in (scale) and adjust the measurement points using the touch screen alone. Click/click and drag methods may be used to set the caliper pose; for example, to mill on a particular portion of the displayed waveform, the user may press down on one point and drag to another point to indicate the end point of the caliper gesture.
The particular out-of-range reading may be displayed in red or highlighted by other mechanisms, such as bold type fonts and/or flashing. According to an embodiment of the invention, contacting the highlighted value will cause the display to show a possible diagnosis consistent with the measurement. The particular graphical region of the screen may be specified using a graphical image of the tablet. By dragging waveforms, measurements, or any other data object shown on the display onto the tablet icon, it may be automatically presented on the tablet linked to the defibrillator.
Capnometry is helpful in the assessment of asthma, where the slope of the increase in expiratory plateau provides a measure of bronchospasm. The slope of the plateau (third phase) provides a measure of airway obstruction. The adequacy of the voxel b bronchodilatory treatment for asthma attacks can be monitored by observing the slope change of phase three.
When referring to U.S. patent application publication No. 2011/0172550, published at 7/14 2011, which is incorporated herein by reference in its entirety for all purposes, data of patient history may be entered via a tablet computer using patient physiological measurements via a detector. Since differential diagnosis often affects measurements of both patient history and patient physical examination results, as well as patient physiological data monitored via, for example, ECG, capnography, and oximetry, these data elements are incorporated into a user interface that automatically or semi-automatically incorporates the various data elements on a single differential diagnosis screen into an application on a tablet computer. The interface may be initiated by asking the rescuer to select from a list of common cardinal symptoms or patient complaints, such as dyspnea or respiratory distress. The information on, for example, FIGS. 5, 6 and 7 (from Am Fam Physics 2003; 68:1803-10) provides one possible structural approach for the rescuer to obtain information. When patient history and physical examination results are entered into the tablet computer, the differential diagnosis page gradually narrows down the possible diagnoses.
In another embodiment, the defibrillator includes a docking feature for supporting, for example, on top of the defibrillator in a stable position via a mounting feature incorporated onto the defibrillator Is a tablet computer. Can be used including tablet personal computers,/->And other mobile computing devices for other touch screen monitors. Alternatively, low power, battery powered touch screen monitors such as those that transfer information between computing devices via wired or wireless USB connections may be used. Communication may be provided wirelessly between two devices (e.g., a medical device and a mobile computing device). Other communicative coupling, such as wires, may be obtained between the two devices. iPad may include a protective and/or waterproof housing to protect it from typical cosmetic damage that it may encounter in a pre-hospital environment. The mounting features incorporated into this iPad housing make it easy to attach to the top of the defibrillator on site. The mounting features of the defibrillator can be connected with a hinge so that +.>May be hinged downwardly into a protective pouch on the defibrillator when not in use. />Can also be disconnected and used nearby to removeA defibrillator, not required for physical connection. It may also be preferred to provide physical grooves at the sides, top or back of the unit which allows +. >The battery of which can be charged by the defibrillator. />The interior of the frame of the protective housing is standard +.>Connector, and in->Outside the frame of the protective enclosure are more robust mechanical and electrical connectors that, according to embodiments of the present invention, are resistant to abuse experienced by medical devices in pre-hospitalized emergency environments.
The results of this comprehensive analysis of physiological data, patient history, and physical examination results may then be displayed on the defibrillator, potentially in a query, to make additional physiological measurements. The results of this comprehensive analysis of physiological data, patient history, and physical examination results may alternatively or additionally be displayed on a tablet computer. According to some embodiments of the invention, a tablet or other mobile computing device may be communicatively coupled with a defibrillator or other physiological assessment device, for example, through a wireless connection. As used herein, the phrase "communicatively coupled" is used in its broadest sense to refer to any coupling through which such information may pass. Thus, for example, communicatively coupling includes electrical coupling, such as by wires; optical coupling, for example by fiber optic cables; and/or wireless coupling, such as by radio frequency or other transmission media. "communicatively coupled" also includes, for example, indirect coupling or direct coupling via a network.
According to an embodiment of the invention, the user interface device is communicatively coupled to a processor configured to receive data entered via the user interface device and to receive data from one or more of the processorsData of the plurality of sensors to perform clinical decision support based on both of the data sources. The user interface devices may include one or more devices such as touch screen computers, tablet computers, mobile computing devices, smart phones, audio receivers, audio transmitters, video receivers, video transmitters, cameras, and "heads-up" displays projected onto the user's eyeglasses or face masks. The small monitor may be mounted on eyeglasses or a mask and/or incorporated with other wearable communication devices such as headphones or earphonesA hands-free telephone adapter. The user interface means may comprise a combination of means for transmitting options and receiving input; for example, a speaker may be used to transmit possible DTPs and an audio receiver may be used to receive a password indicating the selection of one DTP. Instead of an audio receiver, a video camera may be used to receive gesture commands that are interpreted by the processor when selecting one of the possible DTPs or input elements. The use of a hands-free device for the user interface device may enable the caregiver to free up his hands to perform clinical tasks while also providing non-invasive decision support and/or differential diagnosis to the caregiver.
Fig. 8A and 8B illustrate differential diagnosis and/or clinical support procedures by which a computer processor may use user interface means to arm a caregiver in accordance with embodiments of the present invention. For example, if the caregiver selects "respiratory distress" from the five DTPs presented on the screen of fig. 3, the user interface device will prompt the caregiver to enter information about step 802 in the flowchart of fig. 8, which flows from top to bottom. At step 802, if the 12 lead shows an S3 heart sound, or if the dyspnea engagement score is greater than 3, the decision support system will guide the user through an acute decompensated heart failure (CHF) decision/diagnostic process.
The decision support system may consider physiological data received from the sensors in helping the caregiver move from one decision point to the next in the flowchart while simultaneously updating any display or information provided along the wayAnd received from a care giver (e.g., via, for exampleMobile computing device) and information data of the mobile computing device. For example, the decision support system may indicate to the user that the ECG data based processing is as if there were no S3 heart sounds presented and ask the caregiver to confirm the assessment. The decision support system may also or alternatively request that the caregiver enter a dyspnea engagement score, or suggest one for confirmation by the caregiver. At step 802, if the 12 lead shows no S3 heart sounds, or if the dyspnea engagement score is less than 3, the decision support system will identify that the caregiver is not treating a CHF condition, but then move to step 804 where the decision support system changes its display and/or inputs a prompt to assist the caregiver in determining whether to input an asthma treatment path or COPD treatment path.
Again, the decision support system may factor in the various physiological data from the sensors and the various information data received about a particular patient in helping support the decision of the caregiver. For example, as illustrated in fig. 6, if the patient information (entered by the caregiver or obtained from another source) indicates that the patient is involved in serious tobacco usage, the decision support system will identify that it is likely to be a COPD diagnosis in step 804, however, if the caregiver indicates to the decision support system that the patient is experiencing cough, or has a history of asthma, the decision support system may identify that it is likely to be a diagnosis of asthma at step 804. In addition to or alternatively to the informative diagnostic support reflected in fig. 6, the decision support system may use physiological data to collect results to assist the caregiver in determining the appropriate treatment path. For example, if the respiratory or respiratory sound sensor generates data that when processed indicates a pestle, barrel chest, or reduced respiratory sound, the decision support system may identify that the COPD treatment pathway is more appropriate at step 804, however, if the respiratory sound sensor generates data that indicates reverse pulse, or if the muscle activity sensor indicates paraspinal muscle usage, the decision support system may identify that the asthma treatment pathway is more appropriate at step 804.
According to embodiments of the present invention, the decision support system may suggest or propose a diagnostic or therapeutic path by indicating statistical probabilities (based on graphs and data such as those of fig. 6 and 7) or relative likelihoods, and request confirmation or final selection by the caregiver. For example, if the support system is decided to receive confirmation of an asthma diagnosis at step 804, the user interface device may alter the information presented to the caregiver, such as by initiating a treatment regimen specific to the asthma diagnosis. At step 806, the decision support system may recommend that the caregiver attach a humidifier to the patient oxygen supply and administer 2.5 milligrams of albuterol mixed with 0.5 milligrams of antiasthmatic administered by a nebulizer connected to a 6-9 liter per minute source, and may indicate that administration may continue as long as the heart rate is no greater than 140. The decision support system may monitor the heart rate and give visual and/or audible indications when and if the heart rate reaches or approaches 140 in this embodiment.
At step 808, the decision support system may assist the caregiver in determining whether the patient is extremely bronchoconstrictor, for example, by displaying data or measurements related to blood oxygen content, respiration rate, or respiration volume. When the caregiver confirms that the patient is extremely bronchoconstrictor at step 808, the decision support system may then recommend that the caregiver administer a 125 milligram dose of methylprednisolone (solumerol) in a slow (e.g., 2 minute) intravenous bolus. At step 810, the decision support system may assist the caregiver in determining whether the patient's symptoms have improved (e.g., whether patient's breathlessness has been improved under treatment so far). For example, the decision support system may display and/or analyze the patient's end-tidal waveform and suggest that the patient appear not to be responsive to treatment and require a caregiver to confirm. If the caregiver confirms the decision, the decision support system may continue to guide the caregiver through additional treatment options, such as those indicated in fig. 8. In this way, the decision support system uses both physiological data and information data collected from the patient or entered by the caregiver during a clinical encounter to guide the caregiver through a complex resolution process in a manner that is too inconvenient and time consuming for the caregiver to perform in the absence of the decision support system.
Decision support according to embodiments of the present invention may or may not be fully automated. Inference engines using bayesian networks, neural networks, genetic algorithms, or simpler rule-based systems may be used.
In another embodiment, the carbon dioxide or pH of the tissue is measured by methods such as those described in U.S. patent No. 6,055,447 describing a hypoglossal nerve tissue carbon dioxide sensor and U.S. patent nos. 5,813,403, 6,564,088 and 6,766,188 describing methods and devices for measuring tissue pH via near infrared spectroscopy (NIRS), which are incorporated herein by reference in their entireties for all purposes. NIRS technology allows the PO2, PCO2 and pH values of the tissue to be measured simultaneously. One disadvantage of previous methods for measuring tissue PH is that for a given baseline measurement performed in a series of measurements during resuscitation, the measurement provides very good relative accuracy, but absolute accuracy is not so good due to patient-specific offsets such as skin pigments. One of the benefits obtained by some embodiments of the present invention is the elimination of the need for absolute accuracy of the measurement and the reliance on just offset and gain that are stable during resuscitation. The carbon dioxide and PH of the tissue is particularly helpful in monitoring traumatic DTP. The physiological parameters on the display for the traumatic DTP may be one or more of invasive and non-invasive blood pressure, carbon dioxide and PH of the tissue, ECG, spO2 trend and heart rate variability risk index. The ECG may be analyzed to determine the interval between adjacent R-waves of a QRS (quantum resonance health detector) complex and use the interval to calculate heart rate variability as a difference in movement between adjacent R-R intervals. It is known to those skilled in the art that sudden decreases in change often decrease rapidly a few minutes ahead of the patient's blood pressure (traumatic stop). By detecting the trend of heart rate variation, traumatic sudden stops can be foreseen and prevented.
According to an embodiment of the invention, the further sensor for traumatic DTP is ultrasound. According to c.hernandez et al, c.a.u.s.e.: cardiac arrest ultrasound examination-a better method of managing early non-arrhythmogenic cardiac arrest patients, resuscitating (2007), doi:10.1016/j. Resuscitating.2007.06.033, which is incorporated herein by reference in its entirety for all purposes:
c.a.u.s.e is a new method developed by the authors. The c.a.u.s.e. solution solves the four main problems of cardiac arrest and achieves the solution of the problem by using two ultrasound views of the chest, a four-chamber heart section of the heart and pericardium, and an anterolateral view of the lungs and pleura at the level of the second intercostal space at both sides of the collarbone midline. Four-chamber heart sections of the heart and pericardium were obtained using the subcostal, parasternal or apical chest window. This allows everyone to perform an examination to select the most appropriate view according to the anatomy of the patient. The authors suggest starting with a view of the subclavian muscle first, as this view allows the practitioner to evaluate the heart without interrupting chest compressions. If this view is not feasible, a top approach or a parasternal approach may be used during a coordinated pulse check by the resuscitation team leader. Four-chamber heart sections are used in this approach because they allow easy comparison between different chambers in the heart, facilitating diagnosis of hypovolemia, large-area pulmonary embolism, and pericardial tamponade (fig. 6). Pneumothorax is diagnosed by identifying a deficiency in glide and comet tail while looking at the sagittal plane at the second intercostal space of the collarbone midline. For both cardiac and pulmonary views, a 2.5-5.0 phased array transducer probe is proposed. This allows the inspector to use the same probe for both the lungs and heart and to perform abdominal examinations if necessary. Probes of this type were used by Knudtson in his study as an adjunct to the rapid test involving ultrasound for identifying pneumothorax, which yields a very high accuracy in detecting pneumothorax, yet remains useful in identifying heart and abdominal organs. This scheme is best depicted in graphical form see fig. 12.
The caregiver selects an element of the flowchart causing the ultrasound sensor to be activated and an image to be presented on the tablet. Additional instructions may be requested from the tablet and/or defibrillator. According to embodiments of the present invention, the setting of ultrasound may be adjusted to deliver the best image based on the selection and instructions.
Although five diagnostic and therapeutic approaches are discussed with respect to fig. 3, the differential diagnosis/decision support system may be configured to support decisions and diagnostics with respect to other DTPs, and may be configured to display and support various combinations of one or more DTPs from among the five and others shown in fig. 3. According to other embodiments of the present invention, each user may configure the decision support system to use a custom DTP for each DTP option; for example, the user may change the default series of questions/steps/readings for traumatic DTP using a new series of questions/steps/readings based on a particular caregiver treatment regimen, a particular patient treatment regimen, a particular geographic treatment regimen, and/or a particular prescribed treatment regimen. In this way, the decision support system operates according to embodiments of the present invention to guide decisions and diagnostics for caregivers in a way that adjusts different types of DTPs.
For example, if the user selects the trauma DTP option from the screen of fig. 3, the decision support system may be configured to guide the user through decision and processing paths similar to those shown in fig. 13-25. The user is then provided with a series of further options such as "amputation", "hemostasis", "burn" and the like. Selecting one of these further options then causes the decision support system to enter and display a particular route with respect to the selected option. According to an embodiment of the invention, the decision support system comprises a user interface device independent of the medical device or the one or more sensors in a way that the caregivers are guided simply through a series of decisions according to the previously established flowcharts. At a substantial level, a medical device, such as a defibrillator, may include one or more decision support flowcharts and/or treatment protocols that guide a caregiver through various decisions with or without sensor data or other input data. The graphical DTP may be included in a defibrillator as an electronically navigable reference file.
According to other embodiments, the decision support system is notified by a combination of caregiver observations, patient information, and/or sensor data. The assessment and/or scoring may be performed by receiving data from a caregiver or receiving data from a sensor or both. For example, for traumatic DTP, the decision support system may consider pulse rate, respiration data, qualitative respiration data, pulse rate, blood loss, blood pressure, the occurrence of limb fractures and/or compound fractures. Alternatively, in cardiac distress DTP, the decision support system may be configured to display the cardiac arrest probability in time, which probability may be calculated and/or predicted by the decision support system based on selected criteria. The decision support system may also be configured to track specific criteria to indicate the probability of a treatment outcome, e.g., to indicate a successful treatment pathway with the highest probability of success or a high perceived probability of success.
According to some embodiments of the present invention, a monitor or defibrillator/monitor combination or other similar device may be configured to provide a graphical tool to configure the monitor to conform to a rescue protocol, such as one or more of the protocols described and/or shown herein. According to embodiments of the present invention, the tool may be included on a monitor or defibrillation device, a tablet or hand held or other computing device, and/or both. The tool may be provided in a graphical interface, such as a flowchart. The tool enables a user to configure the patient monitor to conform to the rescue protocol, for example, by visually providing a flow chart of the protocol and enabling the user to customize the protocol. For example, the length of time for CPR (cardiopulmonary resuscitation) can be configured by the user to customize the treatment regimen. This tool may also allow for the downloading of and/or uploading of customized treatment regimens from and to a monitoring device, which may also allow the same customized regimen settings to be executed on a mobile device and/or transferred or uploaded to a plurality of other devices at different locations and/or at different times according to embodiments of the present invention.
Fig. 26 illustrates a clinical decision support system 2600 according to an embodiment of the invention. The system 2600 includes a processor 150, which processor 150 is communicatively coupled to a database 152, a decision support module 153, a display 156, and a patient monitor and/or defibrillator 154, which may itself be communicatively coupled to another display module 155 in accordance with embodiments of the present invention. Some or all of the elements shown in fig. 26 may be part of or performed by one or more of the computer systems illustrated in fig. 27.
FIG. 27 is an example of a computer or computing device system 200 with which embodiments of the present invention may be utilized. For example, the defibrillator 154 and/or tablet shown in fig. 11 may be or include a computer system 200, in accordance with embodiments of the present invention. According to the present embodiment, the computer system includes a bus 201, at least one processor 202, at least one communication port 203, a main memory 208, a removable storage medium 205, a read only memory 206, and a mass storage 207.
Processor 202 may be any known processor such as, but not limited toOr ItaniumProcessor or->Or Athlon- >Processor or->A serial processor, or any known microprocessor or processor of a Mobile device, such as, but not limited to, ARM, intel Pentium Mobile, intel Core i5 Mobile, AMD A6 Series, AMD Phenom II Quad Core Mobile, or the like. The communication port 203 may be, for example, any one of an RS-232 port, copper or fiber 10/100/1000 ethernet interface or +.>Or a WiFi interface. The communication port 203 may be selected based on a network such as a Local Area Network (LAN), a Wide Area Network (WAN), or any network to which the computer system 200 is connected. Main memory 208 may be random access memoryA Memory (RAM) or any other dynamic storage device commonly known to those of ordinary skill in the art. The read-only memory 206 may be, for example, a static memory device such as a programmable read-only memory (PROM) chip for storing static information such as instructions for the processor 202.
Mass memory 207 may be used to store information and instructions. For example, flash memory or other storage media, including removable or dedicated memory in a mobile device or portable apparatus, may be used in accordance with embodiments of the present invention. As another embodiment, for example The bus 201 communicatively couples the processor 202 with other memory, storage blocks, and communication blocks.
As shown in fig. 26, the decision support module 153 may be a clinical support and/or differential diagnosis and/or treatment regimen as described herein. Based on information about the patient received from monitor 154, decision support module 153 determines and/or displays to the user a set or row of next available options in the decision tree. Alternatively, the decision support module 153 may be configured to calculate probabilities or other statistics based on decision support trees, algorithms, and/or historical data.
Since the display module 155 of the monitor 154 is used for critical patient monitoring or therapy functions, and since the monitor 154 must often be small and portable, there is limited availability of the size of the display device on which the display module 155 operates. As such, embodiments of the present invention include a separate display 156, the display 156 being available to the user or someone other than the user to view information regarding the particular decision support procedure performed by the processor 150 and optionally by the patient monitor 154. When the user decides to implement the decision support process, the selection may be made on a user interface screen executed by the display module 155 and/or may be made on a user interface executed by the display module 156. This then prompts the processor 150 to access clinical decision support flows via the decision support module 153. Decision support module 153 may include logic that directs users through various nodes and/or branches of a clinical decision support flow, such as those shown in fig. 5-8B and 12-25. According to some embodiments of the present invention, the display module 155 runs a display screen of a monitor/defibrillator as shown in fig. 11, and the display module 156 runs a tablet screen. Such a tablet computing device may be communicatively coupled to the processor 150 (whether such processor is located in the monitor/defibrillator or tablet computing device) by interfacing the processor 150 into a communication interface on the monitor/defibrillator as shown in fig. 11, and/or wirelessly communicatively coupled to the processor 150. Based on the disclosure provided herein, one of ordinary skill in the art will recognize that patient monitor 154 may include its own processor, and that the tasks described as being performed by processor 150 may be distributed to one or more processors and/or physical devices.
Fig. 28 illustrates one embodiment of a decision support tree that may be shown to a user on an auxiliary screen (run by module 156) during a medical event to guide the user through a patient's treatment regimen or prior diagnosis. The decision support module 153 may navigate through different decision points (e.g., "nodes") by manual selection of the next available option or branch, or by automatic selection of all or part of the next available option or branch based on patient data collected during a medical event, such as physiological data collected by a patient monitor/defibrillator 154 connected to the patient, or by a combination of the two flows. According to embodiments of the present invention, the fully or partially automated process may also be configured to prompt the user for a determination before moving to a subsequent or previous node.
This first medical attendant has limited attention resources due to the time critical nature of the first medical attendant's task. To further simplify this user interface with the decision support module 153, the processor 150 may be configured to dynamically adjust the display screen 156 during a medical event. As an example, fig. 28 illustrates a user interface display of a clinical decision support tree according to an embodiment of the present invention. The decision support tree starts at block 2 and the first decision is between blocks 4 or 24. If block 4 is selected, the decision is then between blocks 6 and 8. If block 6 is selected, the next decision is between blocks 10 and 12. While one or two possible branches or decisions are shown in accordance with embodiments of the present invention, one of ordinary skill in the art will appreciate that any number of branches or decision options may be provided to extend from a particular node, such branches may overlap and/or wrap back around to a previous node, and the remaining blocks 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, and 42 may function in a similar manner based on the disclosure provided herein.
FIG. 29 illustrates the user interface display of FIG. 28 with a portion of the resized clinical decision support tree in accordance with an embodiment of the invention. Once box 4 is selected on box 24 (manually and/or automatically based on patient data by the user), display module 156 adjusts the size of the entire "branch" and subsequent nodes comprising box 24, and/or in this case adjusts the size of each box 24 as shown in fig. 29 by making them smaller. Alternatively, in another embodiment, even before the user manually selects box 4, processor 150 instructs display module 156 to adjust the size of the branches of box 24 as shown in fig. 29 based on the instruction from decision support module 153, which decision support module 153 factors in (manually or automatically from monitor 154) the received patient data to indicate that box 4 selected on box 24 will be more consistent with the particular clinical decision support procedure being performed. By indicating the different sizes between boxes 4 and 24, the user is provided with visual indications that facilitate navigation through the decision support process if they are consistent with the user's ideas and experience. This also makes this procedure easier for those who do not have a rich experience with a particular decision support scheme.
Resizing may occur by making the frame 24 smaller or by making the frame 4 larger or both. In some cases, only the blocks and nodes of the subsequent group are resized, not depending on the remaining branches or nodes of the immediately subsequent node. Each node may be represented by a shape whose entire boundary may be resized to indicate an unselected or less probable node. Alternatively, the size of the nodes may remain the same, but the text within the nodes may adjust the size. Alternatively, the size of the nodes may remain the same, but the color or transparency of unselected or less probable nodes may change, e.g., for less important nodes, "graying out," for more important nodes, back to a more striking color or flashing color. A combination of these and other visual indication features may be used to help the user navigate visually through the decision support process in real-time during a medical event.
In some cases, the entire decision support tree may be displayed on the device screen; in other cases, the tree may be too large to display all at once. FIG. 29 also illustrates how screen boundaries may be centered or dynamically moved to coincide with movement through the tree. For example, screen boundary 50 is initially centered (vertically or horizontally or both) on frame 2, and as soon as frame 4 is selected or becomes a more likely or suggested selection, screen boundary 50 moves in the direction indicated by arrow 52 to a new screen boundary position 50', which position 50' is now centered on frame 4. Fig. 30 illustrates a similar resized feature as it might be displayed after frame 6 is selected on frame 8.
The decision support module 153 may also be configured to switch between differential diagnosis and treatment regimens; for example, when a possible diagnosis is processed by the clinical support module, the user may be prompted to select or initiate a treatment regimen consistent with one or more of the more likely diagnoses or predictions. As another example, one or more treatment protocol trees may be submitted at the end of a differential diagnosis or clinical decision support tree to guide the user through the suggested treatment protocol once the decision support module 153 helps the user identify the conditions requiring treatment.
The patient monitor/defibrillator device 154 may also be configured for several different modes of care and may be configured for entering the most likely or most relevant mode of care based on the user's guidance of the clinical decision support procedure, for example, on the auxiliary display 156, and for changing between two or more modes of care as appropriate when the user guides the clinical decision support tree according to embodiments of the present invention.
FIG. 31 illustrates a user interface display with dynamic soft keys according to an embodiment of the present invention. Just as the nodes on the decision support tree display may be dynamically visually adjusted to aid the user in navigating the procedure, the selection items on the patient monitoring or treatment device 154 may also be dynamically adjusted to guide the user through a particular clinical decision support procedure. Fig. 31 shows a housing of a patient monitor/defibrillator 54 that may include a screen 55 (e.g., operated by a display module 155 of fig. 26), and may include some physical user input devices 56, 58, 60, 62, 64 that may be, for example, buttons. The screen 55 may be configured to display a user interface as shown, which may include one or more soft keys 66, 68, 70, 72, 74, with one or more soft keys 66-74 corresponding to one or more buttons 56-64. Based on the disclosure provided herein, more or fewer buttons and/or soft keys may be used, and the positioning of the buttons and/or soft keys may vary from unit to unit, model, or design to design. For example, the buttons may alternatively or additionally extend vertically along one side of the screen 55.
Soft keys 66 may be part of a display screen that may be dynamically modified by processor 150 and/or patient monitor 154 so that buttons 56-64 may be used by the user to select different options at different times. This allows the user to navigate through various menus with a single row of buttons. According to some embodiments of the present invention, the device 55 does not include any physical buttons, rather, only soft keys (e.g., via a touch screen arrangement) are used on the display screen 55 that are themselves selectable. Likewise, the term "soft key" is used herein to refer to any combination of physical buttons and virtual buttons that may be used by a user to select from one or more options.
Similar to the process described with respect to fig. 28-30, the soft key 66 may be dynamically adjusted to assist the user in navigating the decision support process. Based on the disclosure provided herein, one of ordinary skill in the art will appreciate many different menus or clinical decision support flows of soft keys that may be adjusted dynamically as a result of this. Only a few specific embodiments are shown in fig. 32 and 33. For example, if the user selects the "emergency care diagnosis" button or soft key from the user interface display of FIG. 3, the user may be brought to the screen of FIG. 31 with dynamic soft keys 66-74. This soft key may initially look very similar to those of fig. 3 and 31; however, according to one embodiment of the present invention, after the user enters the emergency care diagnostic function, and before the user selects the next branch of the procedure, the patient monitor/defibrillator observes the heart rhythm disorder based on the patient-synchronously observed ECG waveforms. Based on this physiological data, the display module 155 emphasizes cardiac distress by visually emphasizing it or visually distinguishing it from a synchronously displayed soft key, as shown in fig. 32. For example, the color or conspicuity of the heart distress soft key 70 may be changed. Soft key 70 may include a displayed geometric shape that may be altered or may have its perimeter more conspicuous or visually distinguishable. As another option, text within the soft key 70 may be enlarged or bolded or italicized to visually distinguish the soft key 70 based on physiological data.
According to some embodiments of the present invention, the user interface displayed on the screen 55 and/or screen display of the attached tablet device includes one or more legends for visually indicating to the user why one or more soft keys are emphasized or highlighted. For example, this legend may include text, such as "possible heart rhythm disturbances" to explain why the heart distress soft key 70 is emphasized, or "low SpO2" to explain why the respiratory distress soft key 66 is emphasized, or "dispatch", in accordance with embodiments of the present invention: complaint = trauma "to explain why trauma soft key 72 is emphasized.
As an alternative, or in combination with a color, font size, shape, or similar visually distinguishing feature, based on this physiological data, the display module 155 adjusts the size of the heart distress soft key 70 by making it larger or by making the other soft keys smaller, as shown in fig. 33. Although fig. 32 and 33 illustrate only one soft key 70 being emphasized and/or resized based on available patient data, the display module 155 may be further configured to dynamically emphasize and/or resize more than one soft key in more than one manner, in accordance with an embodiment of the present invention. For example, if the patient's blood oxygen level is observed by monitor 154 below a particular threshold and the patient's ECG waveform is observed by monitor 154 at irregular times, heart distress soft key 70 and respiratory distress soft key 66 may be visually emphasized or resized relative to other soft keys, and may also be visually emphasized or resized relative to each other depending on the relative importance of each possible diagnostic or therapeutic regimen. For example, if decision support module 153 or processor 150 is able to determine that the cause of respiratory distress is likely cardiac distress, cardiac distress soft key 70 may be the largest or most emphasized soft key while respiratory distress soft key 66 may be the next largest or next most emphasized soft key, followed by the remaining soft keys. Once an explicit selection is made, the soft keys 66-74 may be configured to dynamically update to reflect the next decision/step or set of decisions/steps. According to embodiments of the present invention, dynamic adjustment and/or emphasis of various soft keys conveys a higher level of useful help decision support to the user without sacrificing the ability of the user to select even one of the soft keys that is not enlarged or de-emphasized.
While the dynamic adjustment of the visual characteristics of the soft key has been described with respect to observed physiological data about the patient, this dynamic adjustment may alternatively or additionally be accomplished using patient chart data or other patient data that is entered manually or automatically. For example, if the patient's chart at the beginning of a medical event indicates that the patient is involved in a car accident, the trauma soft key 72 may be configured for initial magnification and/or emphasis when the user selects the "emergency care diagnosis" function from the interface of fig. 2, in accordance with an embodiment of the present invention.
FIG. 34 illustrates a code viewing interface for viewing user interface display data corresponding to a medical event according to an embodiment of the invention. The code viewing interface includes a user interface replicator 455 and a visual time scale indicator 300. Throughout the medical event, the user of the patient monitor/defibrillator 154 uses the display screen 55 of the monitor 154 in various steps and user interface modes. After a medical event has occurred, it is often helpful for the user and someone viewing or criticizing the user's behavior to be able to know what occurred during the medical event and when it occurred during the medical event. This information is particularly helpful at times before or after an important patient event in order to determine the appropriateness or effectiveness of a particular applied therapy. To this end, according to embodiments of the present invention, the processor 150 may be configured to take visual representations (e.g., timely "snapshots") of some or all of the user interface screens 55 and store them for later viewing, for example, in the database 152. This view may be accomplished in the form of a playback interface as shown in fig. 34. This snapshot of the user interface 55 may be recorded at regular or irregular intervals at least once per second, twice per second, or multiple times per second, according to embodiments of the present invention. In some implementations, snapshots may be taken frequently enough (e.g., at a data sampling rate of 500 snapshots per second) to provide full fidelity playback of the event.
According to an embodiment of the invention, the interface replicator 455 and the visual time scale indicator 300 may be configured to play back the screen user interface appearance at the same speed at which images are taken or acquired, and to move the position of the time scale indicator 308 along the time scale 300 from the start time indicator 304 to the end time indicator 306. The current position indicator 302 is for example in hours: minutes: the format of seconds indicates the time in which a particular user interface screen capture displayed in the user interface replicator 455 is captured (or in which this user interface is displayed during a medical event). Likewise, according to an embodiment of the present invention, the person viewing the advancement of the screen interface 55 sees the screen interface 55 in the user interface replicator 455, as it is seen by the user of the device during the medical event time.
Visual time scale indicator 300 may also include visual event indicators, such as a drug administration visual event indicator 310 and a patient defibrillator visual event indicator 312. Other visual event indicators may include, for example, the occurrence of an alarm, the time of blood pressure measurement or signal acquisition (which may be helpful for documentation at the end of a medical event), event markers, clinical decision tree points, the time of spontaneous circulation recovery ("ROSC"), and/or the time at which a "re-stop" soft key is depressed or the time observed for updated or subsequent cardiac arrest conditions.
The visual time indicator 310 indicates the time at which the drug was administered to the patient during the medical event (e.g., on a time scale). According to an embodiment of the present invention, visual event indicator 312 indicates the time (e.g., on a time scale) at which defibrillation therapy was applied to the patient during the medical event. Fewer or more identical or additional visual event indicators may be used in visual time scale indicator 300 to signal to the viewer as to the number of times an important event of interest has occurred during a medical event. This then allows the viewer to jump directly to the user interface time interval of interest, rather than continuously viewing all user interface screen shots, according to an embodiment of the present invention. As an example of how a user may jump directly to a desired time for playback of a user interface screen, the user may select a time scale indicator 308 or other selection procedure with a cursor that is dragged from left to right on the time scale before being released to resume playback at a time corresponding to the new position of the indicator 308, in accordance with an embodiment of the present invention. According to some embodiments of the present invention, the user may move the pointer 308, and thus the playback, to the time of the visual event pointer 310 (or to a time that is a predetermined interval prior to the time of the visual event pointer 310) by simply clicking on the visual event pointer 310.
The interface of fig. 34 may further include a current position indicator 302, the position indicator 302 displaying a position along the time scale 300 corresponding to the indicator 308 and a time corresponding to the image displayed in the user interface indicator 455, according to an embodiment of the present invention. Although fig. 34 illustrates a substantially linear time scale, other non-linear indicators may be used. The code viewing interface of fig. 34 may also be particularly helpful in viewing recorded screen images for dynamic soft key adjustment, as described with respect to fig. 32 and 33. For example, if the user does not select a particular soft key that is subsequently determined to have been the preferred course of action, the code viewer may set the indicator 308 for the time that this soft key is displayed to see if the particular soft key is resized or emphasized to indicate that it is the preferred course of action. A viewer using the interface of fig. 34 may also see what is exactly on the user's screen when a particular action is performed, e.g., what the user is looking at just prior to the medication administration event 310, according to an embodiment of the present invention. According to some embodiments of the invention, the interface of FIG. 34 operates in a manner similar to the playback mode of a digital video recorder.
A screen controller consistent with the user interface for playback of movies may be included in the interface of fig. 34. For example, the interface may include a media navigation interface including a media navigation field 314, a volume selection field 314, and/or a playback speed selection field 316. The media navigation bar 314 may include screen controls similar to those used with playback of movies to control the content of the user interface replicator. For example, the media navigation bar 314 may include a play button 322, a stop button 324, a pause button 326, a rewind button 320, and a fast forward button 328. Skip back button 314 and skip forward button 330 may also be included, for example, to skip between medical events, chapters, and/or visual event indicators, according to embodiments of the present invention. As used herein, "button" is used to indicate either or both of a physical button or virtual/screen selection interface option. By clicking or otherwise selecting one of the 2x,4x,8x, or 16x portions of the playback speed selection bar 316, the play speed of the medical event on the user interface replicator 455 may be adjusted. The playback speed selection field 316 may also be configured to visually indicate which of the playback speed selections is currently active. Other or additional speed selections may be provided. Clicking or otherwise selecting the volume selection field 314 allows for adjustment of any audio playback volume (e.g., when audio data from a medical event is also simultaneously played back or substituted for visual data).
According to some embodiments of the invention, the on-screen cursor 334 (or other selection mechanism) may take the form of a hand with an extended finger. When a finger is placed over, on or near the time scale, the display pop-up preview window 332 opens, e.g., attached to or near the finger or cursor 334. According to an embodiment of the invention, the display preview window 332 may, for example, display the physiological waveform along with the static measurements and time and event to the user in sufficient detail to determine whether that particular time scale position is selected for current playback. According to an embodiment of the invention, the display preview window 332 includes a physiological waveform and measurement/event portion 336, and a time indicator portion 338 that indicates where along the visual time scale indicator 300 the cursor 334 is positioned. According to some embodiments of the invention, selection and scrolling forward and backward along the time scale 300 to select and "fix" a selection on the time scale indicator 308 causes a similar display preview window 332 to pop up at or near the slider 308.
According to some embodiments of the invention, a user may play back a clinical decision support tree for receiving a medical event. For example, a tablet screen, or screen controlled by display module 156, or alternatively an interface similar to the interface of fig. 34, may be configured to instruct the time scale and display the user to progress through the clinical decision support tree by highlighting each node through which the flow passes and the time used for this node selection. According to some embodiments of the present invention, the representation of the clinical decision support tree itself is used as a visual time indicator, allowing the user to select a node to see in the user interface replicator 455 what the screen 55 of the defibrillator/monitor 154 looks like at the time when the user is at the selection step in the decision support flow. According to some embodiments, the display module 156 and the processor 150 may be communicatively coupled with the defibrillator/monitor 154 in both directions, and the screen 55 of the defibrillator/monitor 154 itself may be used as (e.g., in lieu of) the user interface replicator 455. In addition to being able to select a particular node in the decision support tree to view the monitor display at the selecting step, the tablet screen or other display device operated by the display module 156 may be configured to display a user selectable list of event markers that, when selected by the user, replicates the display of the monitor 154 at the time of the marked event using the display module 155 or user interface replicator 455, in accordance with embodiments of the present invention. For example, the following list of event markers may be displayed on a tablet computing device communicatively coupled to defibrillator/monitor 154:
·03:05:00SBP 110/80，HR 99，SpO2 95％
03:08:00 alarm: spO2 88%
03:08:30 event: O2 transfer
·03:10:00SBP 105/82，HR 110，SpO2 92％
03:11:01 event: ACLS arrival
Although FIG. 34 depicts user interface replicator 455, other replicators may be used to display or playback other observed parameters that occur during a medical event; such as graphs, trends, and/or charts representing patient information or physiological states. This ability to quickly and efficiently view patient data for a medical event or portion thereof may be helpful not only to subsequent viewers, but also to users during and/or to subsequent users during the medical event, such as when a patient is transferred from basic life support personnel to further life support personnel. The interface of figure 34 or similar interfaces may allow for viewing of patient care reports, ECG or 12 lead waveforms, cardiopulmonary resuscitation quality, and other patient care information or data. The event markers may be used as described above. As another example, an event marker may be used to indicate that a patient is being administered a bronchodilator therapy, and a node viewing interface may be used to view the patient's respiratory status before or after the application of the bronchodilator. This allows the same user or a subsequent user or subsequent viewer of the same patient to observe how effective the bronchodilator dose is, and possibly to factor this information into the decision to re-administer the same treatment or another treatment. As another example, the interface of fig. 34 or similar interfaces may be used to see how the patient's carbon dioxide waveform changes according to the patient's treatment. For other patient data, such as data from ventilation monitoring devices (e.g., minute ventilation), a "snapshot" may be recorded and played back through a similar interface.
According to some embodiments of the invention, the alarm threshold may be dynamically adjusted based on physiological data and/or chart data of the patient. Furthermore, the frequency automatic measurement of e.g. blood pressure may be adjusted based on patient physiological data and/or chart data, e.g. by varying the frequency of this measurement. For example, when a traumatic brain injury is suspected or diagnosed based on patient physiological data, chart data, and/or via the following clinical decision support procedures, the monitor 154 may be configured to automatically acquire primary vital signs (e.g., blood pressure, spO2, heart rate, and respiration rate) every five seconds. For other less important cases, these vital signs may only need to be acquired twice during the entire patient event. As another example, automatic blood pressure measurements may be disabled when treating a heart patient and restarted once the patient has acquired a restoration of spontaneous circulation.
As another example illustrating how the alarm threshold may be dynamically adjusted based on a traumatic brain injury medical event, a systolic blood pressure ("SBP") alarm may be configured on monitor 154 to alert the user using the alarm if the adult SBP is less than 90mmHg, the ventilation count index is 10 breaths per minute, and/or the end-tidal carbon dioxide is less than 35 mmHg. These indicators may be adjusted based on the age of the patient; for example, for three years old, the systolic blood pressure alarm may be set to activate when the SBP is below 76mmHg and/or the ventilation index is twenty breaths per minute. For an age of one, the systolic blood pressure alarm may be set to activate when the SBP is below 72mmHg and/or the ventilation index is twenty-five breaths per minute. According to an embodiment of the present invention, the processor 150 is configured to automatically adjust the threshold based on the patient's age, based on user input in the case of traumatic brain injury, without requiring the user to manually reconfigure the alarm threshold based on age. For example, the processor 150 may obtain the patient age from the database 152 and/or from a patient chart system to which it is communicatively coupled, and automatically reconfigure the alarm threshold upon indication via soft key selection or from a decision support module 153 applied to the traumatic brain injury situation. Alternatively, a clinical decision support tree for traumatic brain injury may request a user to select from various age groups at an appropriate node in the flow and use the user selection from the decision support tree to automatically adjust the alarm threshold. The processor 150 may also be configured to mute all alarms when it is determined that the patient has entered cardiac arrest, and then to restart all alarms when it is determined that the patient has obtained a restoration of spontaneous circulation. According to some embodiments of the invention, the processor 150 may be configured to reset the alarm threshold to less than 30mmHg of end-tidal carbon dioxide (possibly lower for traumatic brain injury situations) or less than 40 heart rates per minute after an adult cardiac arrest event. While alarms and other thresholds are discussed as being adjustable in the context of a traumatic brain injury medical event, alarms and other thresholds may also be dynamically adjusted for other patient events or conditions in accordance with an embodiment of the present invention.
According to an embodiment of the present invention, system 2600 is used to assist the clinician in delivering the proper dose of medication. Medication errors can cause serious problems, especially for pediatric patients and when medications are substituted. According to some embodiments of the invention, the decision support module 153 displays assistance to medical personnel to follow a regimen, such as a regimen related to drug delivery. For example, a medical advisor may provide medication options for treatment of a particular condition. Dosing of the drug is determined based on the age, weight, brix measurement, and/or medical complaints of the patient. At any time, the medical advisor may change medication options and dosing based on factors such as availability of medication. The physician may even change the advice in real time or during clinical time if the therapy is monitored remotely. According to embodiments of the present invention, the system may include protection and/or safeguards to ensure that information is properly entered into the database 152 associated with the medication and/or patient to allow the decision support module 153 to accurately guide the caregiver in dosing according to the current medication delivery regimen.
As shown in fig. 35, in accordance with an embodiment of the present invention, for example, the flow portion of a clinical decision support tree has a decision flow that flows through arrow 401 and into decision point 400, system 2600 can help decision support module 153 determine whether to select, suggest and/or recommend nodes 402 and 404. After node 402 is selected, flow may continue to the next node via arrow 403. After node 404 is selected, flow may continue to the next node via arrow 405, according to an embodiment of the present invention. As shown in fig. 35, according to an embodiment of the present invention, the drug delivery portion of the clinical decision support tree may have a decision support module 153 at node 400, determine the correct dosing of a particular patient based on observed and/or entered patient characteristics (block 406), and/or may determine or suggest or recommend one of two or more doses, such as dose a (block 402) or dose B (block 404). According to embodiments of the present invention, it may be suggested that the different metered observed and/or entered patient characteristics (block 406) include age, weight, allergy history, and/or other conditions.
Fig. 36 illustrates a user interface for a patient monitor and defibrillator 154 or other device, for example. The user interface of fig. 36 includes a display portion indicating trend information of various values. For example, the interface illustrates trend data for systolic blood pressure (referenced as 3600), end-tidal carbon dioxide (EtCO 2), and blood oxygen saturation (SpO 2). Trend data may be displayed as a running record of previous readings. According to an embodiment of the invention, the oldest reading may be displayed on the left, the newest reading may be displayed on the right, and the newest reading may be inserted on the right while replacing the oldest reading on the left. Alternatively, the oldest reading may be displayed on the right, the newest reading may be displayed on the left, and the newest reading may be inserted on the leftmost side while replacing the oldest reading on the right. Other options for visually indicating trend data for a given signal may be used.
Conventional trend data shows medical devices such as patient monitors/defibrillators 154, helping clinicians evaluate patient history and conditions, but they often cannot convey information about how trend values compare to acceptable values or ranges of values or user-defined values or ranges of values. According to some embodiments of the invention, the scale of the trend-indicative value readings and/or the frequency with which the values for the trend values are displayed and/or the color in which the trend values are displayed are tailored to the particular patient and/or patient condition. This may be accomplished by the decision support module 153. For example, if the decision support module 153 as part of the decision support process receives information indicating the age of the patient, the processor may be configured to configure the color in which each column of the blood pressure trend chart 3600 is displayed.
The three columns on the left 3602 may be displayed green to indicate that the patient's blood pressure at times corresponding to those particular blood pressure measurements is within acceptable limits of the patient's age. The middle five columns 3604 may be yellow to indicate that the patient's blood pressure at times corresponding to those particular blood pressure measurements is below acceptable limits, but still not at critical levels. The right three columns 3606 may be red to indicate that the patient's blood pressure at times corresponding to those particular blood pressure measurements is below an acceptable range and, therefore, at a critical level. In an embodiment in which the latest trend value is displayed on the right side, the trend chart 3600 for the patient's systolic blood pressure indicates that the patient's blood pressure worsens over time by becoming lower. Of course, other colors may be used, and additional colors and/or ranges may be used. These ranges are automatically adjusted by the decision support module 154 based on various factors such as patient age or other circumstances. For example, all columns 3602, 3604, and 3606 may be displayed green for normal adult patients, while the same absolute values may be colored as shown in fig. 35 for younger or adolescent patients. Other visual indications of coloring, target range, or trend data may also be adjusted by the decision support module 153 during a patient monitoring event based on data observed by the patient monitoring device 154.
According to some embodiments of the invention, the clinician manually adjusts the target value of the signal, which may be advantageous if the patient is, for example, "falling". According to an embodiment of the present invention, instead of filling the screen with a red target value, the clinician may select a range corresponding to a situation with a more realistic opportunity to obtain.
According to some embodiments of the invention, if a patient has or is about to have a herniation, the ETCO2 and/or ventilation index may be altered to hyperbreathe the patient, thereby reducing intracranial pressure. These ranges or indices may be automatically adjusted if the decision support module 153 detects, during the re-decision support procedure, that the patient has or is about to experience a brain hernia, either automatically or via manual or clinical or other input.
According to some embodiments of the present invention, if the decision support mode 153 detects that ETCO2 is below a certain threshold, the target ventilation number will be adjusted to reduce the ventilation number. According to some embodiments of the present invention, if the decision support mode 153 detects ETCO2 above a certain threshold, the target ventilation number will be adjusted to increase the ventilation number. This adjusted ventilation may include an upper limit and/or a lower limit to prevent other undesirable consequences, as high or low ETCO2 readings may be caused by factors other than ventilation (e.g., ultra-low ETCO2 may be caused by perfusion).
Various modifications and additions may be made to the exemplary embodiments discussed without departing from the scope of the invention. For example, although the embodiments described above refer to particular features, the scope of the invention may also include embodiments having different combinations of features and embodiments that do not include all of the described features. Accordingly, the scope of the present invention is intended to include all such alternatives, modifications, and variations as fall within the scope of the claims along with all equivalents thereof.
Claims (36)
1. A method for decision support during a medical event, the method comprising:
displaying a user interface on a screen on the device during the medical event, wherein the user interface includes two or more soft keys each representing a possible user selection;
collecting physiological data from a patient with the device;
determining which of the two or more soft keys represents a possible user selection that is closest to conforming to a therapeutic or diagnostic regimen based on the physiological data; and
based on the determination, the one of the two or more soft keys on the user interface is visually distinguished from other soft keys of the two or more soft keys.
2. The method of claim 1, wherein visually distinguishing the one of the two or more soft keys comprises: the one of the two or more soft keys is made larger than the other of the two or more soft keys.
3. The method of claim 1, wherein visually distinguishing the one of the two or more soft keys comprises: changing a position of the one of the two or more soft keys on the user interface.
4. The method of claim 1, wherein visually distinguishing the one of the two or more soft keys comprises: changing a color of the one of the two or more soft keys on the user interface.
5. The method of claim 1, wherein visually distinguishing the one of the two or more soft keys comprises: changing a boundary of the one of the two or more soft keys on the user interface.
6. The method of claim 1, wherein visually distinguishing the one of the two or more soft keys comprises: causing the one of the two or more soft keys to dynamically flash on the user interface.
7. The method of claim 1, wherein visually distinguishing the one of the two or more soft keys comprises: a legend is displayed on the screen, the legend describing why the one of the two or more soft keys is visually distinguished.
8. The method of claim 7, wherein the one of the two or more soft keys is a heart distress soft key and the legend textually indicates a possible heart rhythm disorder.
9. A method for decision support during a medical event, the method comprising:
displaying a user interface on a first screen on a first device during the medical event, wherein the user interface includes two or more soft keys each representing a possible user selection;
collecting physiological data from a patient with the first device; and
a visual representation of a clinical decision support tree and an indication of a current node on the clinical decision support tree are displayed on a second screen on a second device, wherein the two or more soft keys each represent a possible user selection from the current node on the clinical decision support tree.
10. The method of claim 9, wherein the visual representation of the clinical decision support tree comprises at least one preceding node and at least one subsequent node in addition to the current node.
11. The method of claim 9, wherein selection of one of the two or more soft keys moves the indication of the current node on the second screen forward to a subsequent node selected by the one of the two or more soft keys.
12. The method of claim 9, wherein the second screen allows scrolling and scaling of the visual representation of the clinical decision support tree.
13. The method of claim 10, wherein the visual representation of the clinical decision support tree is centered at the current node on the second screen.
14. The method of claim 10, wherein the visual representation of the clinical decision support tree is positioned on the second screen based on the current node.
15. The method of claim 11, wherein the visual representation of the clinical decision support tree on the second screen is positioned based on the current node, and the selection of the one of the two or more soft keys repositions the visual representation of the clinical decision support tree on the second screen based on the subsequent node.
16. The method of claim 15, wherein the visual representation of the clinical decision support tree on the second screen is centered at the current node, and selection of the one of the two or more soft keys re-centers the visual representation of the clinical decision support tree on the second screen at the subsequent node.
17. A method for decision support during a medical event, the method comprising:
during the medical event, collecting physiological data from the patient with the patient monitoring device at a first frequency;
during the medical event, guiding a user to pass through a clinical decision support process by using a display screen;
determining a status of the patient using the clinical decision support procedure; and
a second frequency at which the physiological data is collected from the patient is selected based on the state of the patient.
18. The method of claim 17, further comprising: the physiological data is collected from the patient at the second frequency.
19. The method of claim 17, wherein the patient's status indicates traumatic brain injury and the second frequency is selected to be greater than the first frequency.
20. The method of claim 19, wherein the second frequency is at least once every five minutes.
21. A system for code viewing of medical events, the system comprising:
a first screen configured to visually display a clinical decision support tree for use in the medical event; and
a second screen configured to visually display data from at least a portion of a user interface of a patient monitoring device as data from the user interface occurring at a time during the medical event, wherein selecting a location within the clinical decision support tree on the first screen causes the second screen to display data from the user interface corresponding to the time during the medical event represented by the location within the clinical decision support tree.
22. The system of claim 21, wherein the second screen is part of the patient monitoring device.
23. The system of claim 21, wherein the first screen is further configured to visually indicate forward movement of a user through the clinical decision support tree on the clinical decision support tree, the forward movement of the user being synchronized with forward movement of data of the user interface on the second screen.
24. A method for decision support during a medical event, the method comprising:
displaying a user interface on a screen during the medical event, wherein the user interface includes trend information for a patient condition;
collecting physiological data from a patient with a device;
providing clinical decision support using at least some of the physiological data and at least some of the user input data;
establishing a range of the patient condition based on the clinical decision support; and
visually indicating on the user interface whether all or a portion of the trend information is within the range.
25. The method of claim 24, wherein the screen is on the device.
26. The method of claim 24, wherein visually indicating on the user interface whether all or a portion of the trend information is within the range further comprises: the portion of the trend information falling outside the range is displayed in a first color, and the portion of the trend information falling within the range is displayed in a second color different from the first color.
27. The method of claim 24, wherein the range is a first range, the method further comprising: establishing a second range of the patient condition based on the clinical decision support, and visually indicating on the user interface whether all or a portion of the trend information is within the second range.
28. The method of claim 27, further comprising: a third range of the patient condition is established based on the clinical decision support, wherein the first range, the second range, and the third range do not overlap each other, and whether all or a portion of the trend information is within the third range is visually indicated on the user interface.
29. The method of claim 28, further comprising: a first color is colored to a portion of the trend information within the first range, a second color is colored to a portion of the trend information within the second range, and a third color is colored to a portion of the trend information within the third range.
30. The method of claim 29, wherein the first color is green, the second color is yellow, and the third color is red.
31. The method of claim 24, wherein establishing the range of patient conditions based on the clinical decision support comprises: the range of patient conditions is established based on patient age, wherein the patient age is obtained via the clinical decision support.
32. A method for decision support during a medical event, the method comprising:
Displaying a user interface on a screen during the medical event, wherein the user interface includes a dosing information display of a medication;
collecting physiological data from a patient with a device;
providing clinical decision support using at least some of the physiological data and at least some of the user input data;
establishing a dose recommendation for the drug based on the clinical decision support; and
the dose suggestion is visually indicated on the dosing information display of the user interface.
33. The method of claim 32, wherein the screen is on the device.
34. The method of claim 32, wherein establishing the dose recommendation based on the clinical decision support comprises: the dose advice is established based on the patient's age, wherein the patient's age is obtained via the clinical decision support.
35. The method of claim 32, wherein establishing the dose recommendation based on the clinical decision support comprises: the dose recommendation is established based on a patient weight, wherein the patient weight is obtained via the clinical decision support.
36. The method of claim 32, wherein establishing the dose recommendation based on the clinical decision support comprises: the dose advice is established based on a patient allergy history, wherein the patient allergy history is obtained via the clinical decision support.
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